A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution von Dean, Jeff, Patterson, David, Young, Cliff

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The Design Process for Google's Training Chips: TPUv2 and TPUv3 von Norrie, Thomas, Patil, Nishant, Yoon, Doe Hyun, Kurian, George, Li, Sheng, Laudon, James, Young, Cliff, Jouppi, Norman, Patterson, David

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Atari's ANTIC: My Favorite Microprocessor von Young, Cliff

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Embedded Computing - A VLIW Approach to Architecture, Compilers and Tools von Fisher, Joseph A, Faraboschi, Paolo, Young, Cliff

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Best Papers From Hot Chips 32 von Raina, Priyanka, Young, Cliff

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Beyond the Quantitative Approach von Young, Cliff, Jones, Timothy, Mullins, Robert

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Motivation for and Evaluation of the First Tensor Processing Unit von Jouppi, Norman, Young, Cliff, Patil, Nishant, Patterson, David

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Embedded Computing von Paolo Faraboschi, Joseph A. Fisher, Cliff Young

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Immigration, Nativism, and Changing Politics: Special Issue Introduction von Bricker, Darrell, Lipsmeyer, Christine, Whitten, Guy, Young, Cliff

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Static correlated branch prediction von Young, Cliff, Smith, Michael D.

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MegaBlocks: Efficient Sparse Training with Mixture-of-Experts von Gale, Trevor, Narayanan, Deepak, Young, Cliff, Zaharia, Matei

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In-Datacenter Performance Analysis of a Tensor Processing Unit von Jouppi, Norman P., Young, Cliff, Patil, Nishant, Patterson, David, Agrawal, Gaurav, Bajwa, Raminder, Bates, Sarah, Bhatia, Suresh, Boden, Nan, Borchers, Al, Boyle, Rick, Cantin, Pierre-luc, Chao, Clifford, Clark, Chris, Coriell, Jeremy, Daley, Mike, Dau, Matt, Dean, Jeffrey, Gelb, Ben, Ghaemmaghami, Tara Vazir, Gottipati, Rajendra, Gulland, William, Hagmann, Robert, Ho, C. Richard, Hogberg, Doug, Hu, John, Hundt, Robert, Hurt, Dan, Ibarz, Julian, Jaffey, Aaron, Jaworski, Alek, Kaplan, Alexander, Khaitan, Harshit, Killebrew, Daniel, Koch, Andy, Kumar, Naveen, Lacy, Steve, Laudon, James, Law, James, Le, Diemthu, Leary, Chris, Liu, Zhuyuan, Lucke, Kyle, Lundin, Alan, MacKean, Gordon, Maggiore, Adriana, Mahony, Maire, Miller, Kieran, Nagarajan, Rahul, Narayanaswami, Ravi, Ni, Ray, Nix, Kathy, Norrie, Thomas, Omernick, Mark, Penukonda, Narayana, Phelps, Andy, Ross, Jonathan, Ross, Matt, Salek, Amir, Samadiani, Emad, Severn, Chris, Sizikov, Gregory, Snelham, Matthew, Souter, Jed, Steinberg, Dan, Swing, Andy, Tan, Mercedes, Thorson, Gregory, Tian, Bo, Toma, Horia, Tuttle, Erick, Vasudevan, Vijay, Walter, Richard, Wang, Walter, Wilcox, Eric, Yoon, Doe Hyun

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Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation von Dror, R O, Grossman, J P, Mackenzie, K M, Towles, B, Chow, E, Salmon, J K, Young, C, Bank, J A, Batson, B, Deneroff, Martin M, Kuskin, J S, Larson, R H, Moraes, M A, Shaw, D E

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Sparse GPU Kernels for Deep Learning von Gale, Trevor, Zaharia, Matei, Young, Cliff, Elsen, Erich

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Instruction scheduling for instruction level parallel processors von Faraboschi, P., Fisher, J.A., Young, C.

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Exploiting 162-Nanosecond End-to-End Communication Latency on Anton von Dror, Ron O, Grossman, J P, Mackenzie, K M, Towles, B, Chow, E, Salmon, J K, Young, C, Bank, J A, Batson, B, Deneroff, M M, Kuskin, J S, Larson, R H, Moraes, M A, Shaw, D E

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Instruction scheduling for instruction level parallel processors: Special Issue on Microprocessor Architecture and Compiler Technology von FARABOSCHI, Paolo, FISHER, Joseph A, YOUNG, Cliff

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MegaBlocks: Efficient Sparse Training with Mixture-of-Experts von Gale, Trevor, Narayanan, Deepak, Young, Cliff, Zaharia, Matei

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TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings von Jouppi, Norman P, Kurian, George, Li, Sheng, Ma, Peter, Nagarajan, Rahul, Nai, Lifeng, Patil, Nishant, Subramanian, Suvinay, Swing, Andy, Towles, Brian, Young, Cliff, Zhou, Xiang, Zhou, Zongwei, Patterson, David

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Bit-Parallel Vector Composability for Neural Acceleration von Ghodrati, Soroush, Sharma, Hardik, Young, Cliff, Kim, Nam Sung, Esmaeilzadeh, Hadi

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